"Learning from Data provides a unified treatment of the principles and methods for learning dependencies from data. It establishes a general conceptual framework in which various learning methods from, statistics, neural, networks, and pattern recognition can be applied - showing that a few fundamental principles underlie most new methods being proposed today in statistics, engineering, and computer science." "Complete with over one hundred illustrations, case studies, examples, and chapter summaries, Learning from Data accommodates both beginning and advanced graduate students in engineering, computer science, and statistics. It is also indispensable for researchers and practitioners in these areas who must understand the principles and methods for learning dependencies from data."--BOOK JACKET

Cataloging source

DLC

Dewey number

006.3/1

Illustrations

illustrations

Index

index present

LC call number

TK5102.9

LC item number

.C475 2007

Literary form

non fiction

Nature of contents

bibliography

3Instances of the Work Learning from data : concepts, theory, and methods